Build decisioning and optimisation models for Canva’s payments platform.
Define the ML strategy and operating model for payments optimisation.
Work with engineering, data, fraud, and product teams to improve revenue outcomes.
Canva is redefining how the world experiences design. They have campuses in Sydney and Melbourne plus co-working spaces in other cities, and offer flexible work arrangements to empower their team.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs.
Architect and implement robust application integrations using Python, JavaScript, or similar languages.
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
Atlassian aims to unleash the potential of every team through its software products designed for all types of work. They value the unique contributions of all Atlassians and do not discriminate based on various factors, ensuring an inclusive culture.
Build end-to-end training pipelines: data → training → eval → inference
Design new model architectures or adapt open-source frontier models
Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
A1 is a self-funded AI group operating in full stealth, building a new global consumer AI application focused on an important but underexplored use case. They are assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Trase Systems is an AI company founded in 2023 by Joe Laws and Grant Verstandig. They empower enterprise leaders to harness the full potential of AI without the associated complexity and risks and are at the forefront of AI Agent innovation.
Develop and deploy computer vision models for facial recognition, object detection and scene categorization.
Build scalable pipelines for processing large volumes of image data and generating structured metadata.
Design and implement recommendation systems leveraging behavioral analytics and transformer-based models.
Jobgether uses an AI-powered matching process to connect candidates with companies. They ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for the hiring company.
Develop and evaluate AI-based biomarkers using multimodal data.
Design, implement, and improve machine-learning models to predict patient outcomes and treatment response.
Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability.
Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. They are on a mission to personalize medical decisions for patients and physicians on a global scale and value bringing together individuals from diverse backgrounds.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Drive the development and deployment of advanced AI models and systems that power Abacus products.
Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions and coding standards.
Lead critical projects in AI and data engineering, ensuring roadmap delivery and maintaining high quality standards.
Abacus Insights aims to unlock the power of data, enabling health plans to deliver the right care at the right time. Backed by $100M, they foster a bold, curious, and collaborative environment where innovation starts with people working together to make an impact.